王国法,庞义辉,任怀伟,等. 智慧矿山系统工程及关键技术研究与实践[J]. 煤炭学报,2024,49(1):181−202. DOI: 10.13225/j.cnki.jccs.2023.1355
引用本文: 王国法,庞义辉,任怀伟,等. 智慧矿山系统工程及关键技术研究与实践[J]. 煤炭学报,2024,49(1):181−202. DOI: 10.13225/j.cnki.jccs.2023.1355
WANG Guofa,PANG Yihui,REN Huaiwei,et al. System engineering and key technologies research and practice of smart mine[J]. Journal of China Coal Society,2024,49(1):181−202. DOI: 10.13225/j.cnki.jccs.2023.1355
Citation: WANG Guofa,PANG Yihui,REN Huaiwei,et al. System engineering and key technologies research and practice of smart mine[J]. Journal of China Coal Society,2024,49(1):181−202. DOI: 10.13225/j.cnki.jccs.2023.1355

智慧矿山系统工程及关键技术研究与实践

System engineering and key technologies research and practice of smart mine

  • 摘要: 针对智慧矿山复杂巨系统建设过程中存在的问题,提出了智慧矿山建设的总体技术架构,并分别从智慧矿山系统模型构建、地下空间重构与模型动态更新、机器视觉测量技术、瓦斯环境射频防爆测试方法、矿山安全闭环管控体系、智慧矿山标准体系等方面进行了详细阐述。将智慧矿山分为信息感知支撑层、边缘计算层、云数据中心、多型网络、矿山智能生产管控平台、矿山智能生产系统、智慧矿山运维管理系统,构建了基于多系统深度融合的智慧矿山技术架构。基于智慧矿山知识图谱及信息抽取技术,构建了以数据创新为驱动、通信网络为基础、数据算力为核心的智慧矿山系统模型。构建了以机器视觉感知信息为主、其他感知信息为辅的矿山井下三维视觉空间模型,提出了矿山井下场景三维视觉与空间重建框架,实现了矿山井下三维空间重构与动态更新。开发了基于机器视觉技术的井下设备位姿与煤岩界面识别算法,实现了对井下综采装备群及煤岩分界面的同时空测量。探讨了井下瓦斯环境下现行防爆标准对5G基站功率的限制及存在的不足,设计开发了射频电磁能防爆专用试验装置,为提升井下5G基站功率阈值提供了方法借鉴。提出了融合灾害信息全面感知、防控方案自主决策、防控装备协同控制的矿井灾害闭环管控系统技术架构,实现井下灾害的超前预测预警与协同防控。构建了智能化煤矿标准体系框架,剖析了我国煤矿与金属矿山智能化建设典型案例,提出了智慧矿山建设发展趋势及建议。

     

    Abstract: In order to overcome the problems existed in the construction process of complex giant system of smart mine, the overall technical framework of smart mine construction was proposed, and a detailed description was made from the aspects of smart mine system model construction, underground space reconstruction and model dynamic update, machine vision measurement technology, radio frequency explosion-proof test method of gas environment, mine safety closed-loop control system, smart mine standard system, etc. The smart mine was divided into information sensing support layer, edge computing layer, cloud data center, multi-type network, intelligent mine production management and control platform, intelligent mine production system and intelligent mine operation and maintenance management system. The smart mine technology architecture based on the deep integration of multiple systems was built. Based on the knowledge map and information extraction of smart mine, a smart mine system model driven by data innovation, based on communication network and centered on data computing power was constructed. A 3D visual space model based on machine vision perception information and supplemented by other perception information was constructed, and a 3D vision and spatial reconstruction framework of mine underground scene was proposed to realize the reconstruction and dynamic update of the 3D space of underground mine. Based on machine vision technology, the identification algorithm of downhole equipment position and coal-rock interface was developed to realize the simultaneous aerial measurement of fully mechanized mining equipment group and coal-rock interface. The limitations and shortcomings of the current explosion-proof standards on the power of 5G base stations in the underground gas environment were discussed, and a special test device for radio-frequency electromagnetic energy explosion-proof was designed and developed, which provides a method for reference to improve the power threshold of underground 5G base stations. The technical framework of mine disaster closed-loop management and control system, which integrates comprehensive perception of disaster information, independent decision-making of prevention and control plan, and coordinated control of prevention and control equipment, was proposed to realize advanced prediction and early warning and coordinated prevention and control of underground disasters. The framework of intelligent coal mine standard system was constructed, the typical cases of intelligent construction of coal mine and metal mine in China were analyzed, and the development trend and suggestions of intelligent mine construction were put forward.

     

/

返回文章
返回
Baidu
map